Mostrando 7 resultados de: 7
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Energies(3)
Heliyon(2)
International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022(1)
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Economía de la tierra y la energía(2)
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Comparativa del modelo autorregresivo y media móvil para el pronóstico de la demanda eléctrica del Ecuador considerando el criterio de Akaike
OtherAbstract: El objetivo de la previsión de cargas eléctricas se centra en predecir de manera satisfactoria y prePalabras claves:Autores:Manuel Dario Jaramillo MongeFuentes:googleA Deep Neural Network as a Strategy for Optimal Sizing and Location of Reactive Compensation Considering Power Consumption Uncertainties
ArticleAbstract: This research proposes a methodology for the optimal location and sizing of reactive compensation inPalabras claves:deep learning, Electrical Power System, Multi-layer neural network, Optimal location, Optimal sizing, reactive compensationAutores:Diego Francisco Carrión Galarza, Jorge Paúl Muñoz Pilco, Manuel Dario Jaramillo MongeFuentes:googlescopusA Novel Data Compression Methodology Focused on Power Quality Signals Using Compressive Sampling Matching Pursuit
ArticleAbstract: In this research a new data compression technique for electrical signals was proposed. The methodoloPalabras claves:Compressed Sensing, compressive sampling matching pursuit, data compression, digital signal processing, power quality (PQ), smart grid (SG)Autores:Alexander Aguila Téllez, Leony Ortiz Matos, Manuel Dario Jaramillo Monge, Milton Ruiz, Ortiz-Matos L., Silvana VarelaFuentes:googlescopusA novel algorithm for high compression rates focalized on electrical power quality signals
ArticleAbstract: This research proposes a high-performance algorithm for the compression rate of electrical power quaPalabras claves:Compression algorithms, data compression, Data processing, power quality (PQ), wavelet transformsAutores:Esteban Mauricio Inga Ortega, Manuel Dario Jaramillo Monge, Milton Ruiz, Simani S.Fuentes:scopusA novel methodology for optimal location of reactive compensation through deep neural networks
ArticleAbstract: The present investigation proposes a methodology for the optimal location of reactive compensation iPalabras claves:deep learning, Electrical Power System, Multi-layer neural network, reactive compensationAutores:Jorge Paúl Muñoz Pilco, Luis Fernando Tipán Vergara, Luis Tipan, Manuel Dario Jaramillo MongeFuentes:googlescopusAn Adaptive Strategy for Medium-Term Electricity Consumption Forecasting for Highly Unpbkp_redictable Scenarios: Case Study Quito, Ecuador during the Two First Years of COVID-19
ArticleAbstract: This research focuses its efforts on the pbkp_rediction of medium-term electricity consumption for sPalabras claves:adaptive models, Demand Forecasting, load forecasting, medium term forecasting, Optimization techniques, Power demand, time series analysisAutores:Diego Francisco Carrión Galarza, Manuel Dario Jaramillo MongeFuentes:googlescopusResidential Customer Segmentation for On-Grid PV Systems Considering Profitability Indexes: Case Study Ecuador
Conference ObjectAbstract: In the near future Ecuador plans to install massive photovoltaic self-production systems in severalPalabras claves:customer segmentation, on-grid PV systems, profitability analysis, RENEWABLE ENERGY, self-productionAutores:Iván Montalvo, Jorge Paúl Muñoz Pilco, Manuel Dario Jaramillo MongeFuentes:scopus